Digital Human Models are getting more applicable in simulation of the human postures/actions during different product development stages. Despite the existence of various modeling techniques, simulated motions are still looking unrealistic. It was identified that one promising way of generating more realistic motions is to use real human motion data as a source. A synthesizer platform is presented in this study which is able to store motions taken from real human in a database and synthesize new motions using already existing motions. The platform is also able to search the database, analyze the data, and feed the data to DHM tools. The platform functionality was tested within two areas: a) by composing new motions by combining the arm motions and walking motions from different subjects and b) by using analysis tools to compare generated motion in a commercial software against captured motions from real human. The obtained results show promising applications of the platform as it can be used to generate new motions and/or analyzing the motions.

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BibTeX @conference{Keyvani2012,author={Keyvani, Ali and Johansson, Henrik and Ericsson, Mikael},title={Motion Synthesizer Platform for Moving Manikins},booktitle={Advances in Applied Human Modeling and Simulation},isbn={978-1-4398-7031-0},pages={545-554},abstract={Digital Human Models are getting more applicable in simulation of the human postures/actions during different product development stages. Despite the existence of various modeling techniques, simulated motions are still looking unrealistic. It was identified that one promising way of generating more realistic motions is to use real human motion data as a source. A synthesizer platform is presented in this study which is able to store motions taken from real human in a database and synthesize new motions using already existing motions. The platform is also able to search the database, analyze the data, and feed the data to DHM tools. The platform functionality was tested within two areas: a) by composing new motions by combining the arm motions and walking motions from different subjects and b) by using analysis tools to compare generated motion in a commercial software against captured motions from real human. The obtained results show promising applications of the platform as it can be used to generate new motions and/or analyzing the motions.},year={2012},keywords={Digital Human Models, Human Motion Analysis, Motion Synthesizing},}

RefWorks RT Conference ProceedingsSR ElectronicID 164479A1 Keyvani, AliA1 Johansson, HenrikA1 Ericsson, MikaelT1 Motion Synthesizer Platform for Moving ManikinsYR 2012T2 Advances in Applied Human Modeling and SimulationSN 978-1-4398-7031-0SP 545OP 554AB Digital Human Models are getting more applicable in simulation of the human postures/actions during different product development stages. Despite the existence of various modeling techniques, simulated motions are still looking unrealistic. It was identified that one promising way of generating more realistic motions is to use real human motion data as a source. A synthesizer platform is presented in this study which is able to store motions taken from real human in a database and synthesize new motions using already existing motions. The platform is also able to search the database, analyze the data, and feed the data to DHM tools. The platform functionality was tested within two areas: a) by composing new motions by combining the arm motions and walking motions from different subjects and b) by using analysis tools to compare generated motion in a commercial software against captured motions from real human. The obtained results show promising applications of the platform as it can be used to generate new motions and/or analyzing the motions.LA engDO 10.1201/b12319-65 LK http://www.crcnetbase.com/doi/abs/10.1201/b12319-65OL 30